A

Noninvasive Left Ventricular Pressure–Volume Loops Based on Combined 4D Flow MRI and CFD

Applied Sciences, vol. 15, pp. 12305

Abstract

A novel approach to generate left ventricular (LV) pressure–volume (PV) loops from combined 4D Flow MRI and computational fluid dynamics (CFD) is presented. Pressure was calculated from person-specific three-dimensional (3D) CFD models created from LV segmentations and peak-systolic pressure from the one-dimensional 111-artery CFD model, with aortic flow from 4D Flow MRI as input. Ten healthy volunteers underwent scan–rescan MRI. Additionally, one patient without cardiovascular abnormalities underwent MRI and invasive catheter measurement for single-case comparison. Scan–rescan reproducibility was very good overall, with no significant differences in any parameters and ICCs of all parameters but minimum pressure were significant and high (0.55–0.99). Aortic flow of 3D CFD model correlated well with 4D Flow (ICC = 0.74) and stroke volume of LV segmentation (ICC = 0.90). Segmentation volume variability resulted in 12% difference in stroke work and mean external power, while aortic flow variability resulted in 10–11% difference in most parameters. Single-case comparison is promising, with only 1.8 mmHg and 0.005 mmHg/mL difference in minimum pressure and EDPVR, and <10% differences for other parameters. Noninvasive pressure–volume loops can therefore reproducibly be generated from only aortic flow, cine short axis MRI, and brachial pressure measurement. Single-case comparison shows promise, but larger validation studies are needed.

Authors 11

  1. Leiden University Medical Center

    Affiliation as printed

    Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, The Netherlands

  2. Delft University of Technology

    Affiliation as printed

    Faculty of Mechanical Engineering, Delft University of Technology, Mekelweg 2, 2628CD Delft, The Netherlands

  3. Leiden University Medical Center · Catharina Ziekenhuis

    Affiliation as printed

    Department of Radiology, Catharina Hospital Eindhoven, Michelangelolaan 2, 5623EJ Eindhoven, The Netherlands

    Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, The Netherlands

  4. Catharina Ziekenhuis

    Affiliation as printed

    Department of Cardiology, Catharina Hospital Eindhoven, Michelangelolaan 2, 5623EJ Eindhoven, The Netherlands

  5. Catharina Ziekenhuis

    Affiliation as printed

    Department of Cardiology, Catharina Hospital Eindhoven, Michelangelolaan 2, 5623EJ Eindhoven, The Netherlands

  6. Catharina Ziekenhuis · Eindhoven University of Technology

    Affiliation as printed

    Department of Biomedical Engineering, Technical University Eindhoven, Theodor Fliednerstraat 2, 5631BN Eindhoven, The Netherlands

    Department of Cardiology, Catharina Hospital Eindhoven, Michelangelolaan 2, 5623EJ Eindhoven, The Netherlands

  7. Catharina Ziekenhuis

    Affiliation as printed

    Department of Radiology, Catharina Hospital Eindhoven, Michelangelolaan 2, 5623EJ Eindhoven, The Netherlands

  8. Delft University of Technology

    Affiliation as printed

    Delft Institute of Applied Mathematics, Delft University of Technology, Mekelweg 4, 2628CD Delft, The Netherlands

  9. Delft University of Technology

    Affiliation as printed

    Department of Chemical Engineering, Faculty of Applied Sciences, Delft University of Technology, Van der Maasweg 9, 2629HZ Delft, The Netherlands

  10. Leiden University Medical Center

    Affiliation as printed

    Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, The Netherlands

  11. Leiden University Medical Center

    Affiliation as printed

    Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, The Netherlands

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References 31